+

Alibabaie et al., 2019 - Google Patents

Fuzzy Notch Filter for Periodic and Quasi-Periodic Noise Reduction in Digital Images

Alibabaie et al., 2019

View PDF
Document ID
3758358080333191474
Author
Alibabaie N
Latif A
Publication year
Publication venue
Journal of Machine Vision and Image Processing

External Links

Snippet

Periodic noises damage the visual quality of images by imposing repetitive patterns on them. In the Fourier amplitude spectrum, they appear as spike-like components. In this research work, we introduce a new method that is based on fuzzy systems for de-noising …
Continue reading at papers.ssrn.com (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20172Image enhancement details
    • G06T2207/20182Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20048Transform domain processing
    • G06T2207/20064Wavelet transform [DWT]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10032Satellite or aerial image; Remote sensing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/36Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46Extraction of features or characteristics of the image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20048Transform domain processing
    • G06T2207/20056Discrete and fast Fourier transform, [DFT, FFT]
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10024Color image
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/001Image restoration
    • G06T5/002Denoising; Smoothing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20016Hierarchical, coarse-to-fine, multiscale or multiresolution image processing; Pyramid transform
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/001Image restoration
    • G06T5/003Deblurring; Sharpening
    • G06T5/004Unsharp masking
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/20Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image by the use of local operators
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20112Image segmentation details
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30108Industrial image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/0063Recognising patterns in remote scenes, e.g. aerial images, vegetation versus urban areas
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/007Dynamic range modification
    • G06T5/008Local, e.g. shadow enhancement
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis

Similar Documents

Publication Publication Date Title
Harikiran et al. Impulse noise removal in digital images
CN111179186A (en) Image denoising system for protecting image details
Sur An a-contrario approach to quasi-periodic noise removal
Fawwaz et al. The edge detection enhancement on satellite image using bilateral filter
Alibabaie et al. Fuzzy Notch Filter for Periodic and Quasi-Periodic Noise Reduction in Digital Images
Nadernejad et al. PDEs-based method for image enhancement
Kumar et al. Image enhancement and performance evaluation using various filters for IRS-P6 Satellite Liss IV remotely sensed data
Papari et al. Contour detection by multiresolution surround inhibition
Kaur et al. Image de-noising techniques: a review paper
Moallemi et al. Adaptive optimum notch filter for periodic noise reduction in digital images
Butt et al. Multilateral filtering: A novel framework for generic similarity-based image denoising
Tavassoli et al. A new method for impulse noise reduction from digital images based on adaptive neuro-fuzzy system and fuzzy wavelet shrinkage
Chudasama et al. Survey on Various Edge Detection Techniques on Noisy Images
Wang et al. Image edge detection algorithm based onwavelet fractional differential theory
Godzwon et al. Biometrics image denoising algorithm based on contourlet transform
Sargolzaei et al. Impulse image noise reduction using fuzzy-cellular automata method
McLaughlin et al. Modified deconvolution using wavelet image fusion
Nair et al. An efficient directional weighted median switching filter for impulse noise removal in medical images
Dehuri et al. A comparative analysis of filtering techniques on application in image denoising
Saleh et al. Automated fabric defect detection using à trous wavelet transform and bollinger band (BB)
Kundu Image denoising using patch based processing with fuzzy Gaussian membership function
Ma et al. An overview of digital image analog noise removal based on traditional filtering
Saraf A new reweight scheme for bilateral and non-local means approach for image denoising
Gao et al. A new image denoising method based on wavelet multi-scale registration fusion
Kalai et al. Sobel-Freichen Hybrid Filters to Improve Edge Detection Performance
点击 这是indexloc提供的php浏览器服务,不要输入任何密码和下载